scidac.gov
SciDAC
http://www.scidac.gov/institutes.html
Biological and Environmental Research. Advanced Scientific Computing Research (ASCR). Advanced Scientific Computing Research (ASCR). Tools and resources for lowering the barriers to effectively use state-of-the-art computational systems;. Mechanisms for taking on computational grand challenges across different science application areas;. Mechanisms for incorporating and demonstrating the value of basic research results from Applied Mathematics and Computer Science; and. The main architectural features of...
aces4bgc.org
ACES4BGC - Applying Computationally Efficient Schemes for BioGeochemical Cycles
http://www.aces4bgc.org/about
Applying Computationally Efficient Schemes for BioGeochemical Cycles. The Applying Computationally Efficient Schemes for BioGeochemical Cycles (ACES4BGC) Project is a Scientific Discovery through Advanced Computing (SciDAC). Partnership Project sponsored by the U.S. Department of Energy. Office of Biological and Environmental Research (BER). And Office of Advanced Scientific Computing (ASCR). The Quantification of Uncertainty in Extreme Scale Computations (QUEST). Computational Tools and Performance.
multiscale.lbl.gov
Participants
http://multiscale.lbl.gov/participants
Lawrence Berkeley National Lab. Multiscale Methods for Accurate, Efficient, and Scale-Aware Models of the Earth System. Validation Verification and Uncertainty Quantification. Multiscale Fact Sheet (PDF). Leadership and oversight of project. Coordination of climate domain science. Coordination between climate domain science and UQ. Quantification of Uncertainty in Extreme Scale Computation. An Institute for SUstained Performance, Energy, and Resilience. Atmospheric Processes Team Lead. University Collabo...
multiscale.lbl.gov
SciDAC Institute Interactions
http://multiscale.lbl.gov/resources/scidac-institute-interactions
Lawrence Berkeley National Lab. Multiscale Methods for Accurate, Efficient, and Scale-Aware Models of the Earth System. Validation Verification and Uncertainty Quantification. Multiscale Fact Sheet (PDF). We are collaborating with the FASTMath. SciDAC institutes in order to leverage the newest algorithmic and software advances in numerical methods, performance, and uncertainty quantification. Collaborations with the SciDAC institutes have impacted many parts of the climate system through our project.
aces4bgc.org
ACES4BGC - Applying Computationally Efficient Schemes for BioGeochemical Cycles
http://www.aces4bgc.org/pubs
Applying Computationally Efficient Schemes for BioGeochemical Cycles. ACES4BGC is a Scientific Discovery through Advanced Computing (SciDAC). Partnership Project sponsored by the U.S. Department of Energy. Office of Biological and Environmental Research (BER). And Office of Advanced Scientific Computing (ASCR). Frameworks, Algorithms, and Scalable Technologies for Mathematics (FASTMath) Institute. Quantification of Uncertainty in Extreme Scale Computations (QUEST). Argonne National Laboratory (ANL).
aces4bgc.org
ACES4BGC - Applying Computationally Efficient Schemes for BioGeochemical Cycles
http://www.aces4bgc.org/about/terms.html
Applying Computationally Efficient Schemes for BioGeochemical Cycles. Website Terms of Use. All Documents Prepared by. Oak Ridge National Laboratory. Oak Ridge, TN 37831-6036. US DEPARTMENT OF ENERGY. ACES4BGC is a Scientific Discovery through Advanced Computing (SciDAC). Partnership Project sponsored by the U.S. Department of Energy. Office of Biological and Environmental Research (BER). And Office of Advanced Scientific Computing (ASCR). Scalable Data Management, Analysis, and Visualization (SDAV).
aces4bgc.org
ACES4BGC - Applying Computationally Efficient Schemes for BioGeochemical Cycles
http://www.aces4bgc.org/about/privacy.html
Applying Computationally Efficient Schemes for BioGeochemical Cycles. This system is for authorized use only. Users (authorized or unauthorized) have no explicit or implicit expectation of privacy. ACES4BGC is a Scientific Discovery through Advanced Computing (SciDAC). Partnership Project sponsored by the U.S. Department of Energy. Office of Biological and Environmental Research (BER). And Office of Advanced Scientific Computing (ASCR). Quantification of Uncertainty in Extreme Scale Computations (QUEST).
aces4bgc.org
ACES4BGC - Applying Computationally Efficient Schemes for BioGeochemical Cycles
http://www.aces4bgc.org/links.html
Applying Computationally Efficient Schemes for BioGeochemical Cycles. Links to Related Information. Related Programs and Projects. Atmospheric Radiation Measurement (ARM) Program. Community Earth System Model (CESM). Earth System Grid Federation (ESGF). International Land Model Benchmarking (ILAMB) Project. MOAB: A Mesh-Oriented datABase. Oak Ridge Leadership Computing Facility (OLCF). Program for Climate Model Diagnosis and Intercomparison (PCMDI). Scientific Discovery through Advanced Computing (SciDAC).
aces4bgc.org
ACES4BGC - Applying Computationally Efficient Schemes for BioGeochemical Cycles
http://www.aces4bgc.org/participants.html
Applying Computationally Efficient Schemes for BioGeochemical Cycles. Pavel B. Bochev, Sandia National Laboratories. Pbboche at sandia dot gov. Philip J. Cameron-Smith, Lawrence Livermore National Laboratory. Cameronsmith1 at llnl dot gov. Richard C. Easter, Jr., Pacific Northwest National Laboratory. Richard dot easter at pnnl dot gov. Scott M. Elliott, Los Alamos National Laboratory. Sme at lanl dot gov. Iulian Grindeanu, Sandia National Laboratories. Iulian at mcs dot anl dot gov. Rtm at utk dot edu.
